Individual Assignment 2 Using SPSS and Statistics in Everyday Life

LSP 121

Individual Assignment 2 Using SPSS and Statistics in Everyday Life

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1. Coaches’ Salaries
2. Basic Single Variable Descriptive Statistics

Open the CoachesSalaries.xlsx file in Excel. It is a set of coaches’ salaries gathered in Tennessee in 2010.

“Clean up” the file, as described in class, if necessary. If you modified the file, save it and close it.

Open the CoachesSalaries.xlsx file in SPSS.

Use SPSS to find the following descriptive statistics for the coaches’ Salary in Dollars. (include a frequency table)

• Minimum
• Maximum
• Range
• Median
• Q values
• Mean
• Standard Deviation

Use SPSS to create a histogram of the coaches’ Salary in Dollars with a projected normal curve included.

1. Copy the Salary in Dollars “statistics box” from the SPSS output and paste it into your Word document.
2. Copy the Salary in Dollars frequency table from the SPSS output and paste it into your Word document.
3. Copy the Salary in Dollars histogram from the SPSS output and paste it into your Word document.
4. Review the Salary in Dollars “statistics box”. Based on your review, list the values of the following:
5. Q1
6. Q2
7. Q3
8. Q4
9. Mean
10. Median
11. Standard Deviation
12. Review the Salary in Dollars histogram. Based on that review:
13. Do the salaries appear to be a normal distribution?
15. Based on your histogram review alone, are there any Salary in Dollars outlier candidates?
16. If there are outlier candidates, list the Salary in Dollars value(s) of the outlier candidate(s).
17. Breast Cancer Data

Open the BreastCancerData.xlsx file in Excel. It contains data on breast cancer and fat intake for several countries.

Clean the file up, as described in class, if necessary. If you modify the file, save and close it.

Open the BreastCancerData.xlsx file with SPSS.

(After you have loaded your variables into SPSS, I recommend that you reduce the “Decimal Places” attribute for each variable to 5.)

Use SPSS to analyze this data, including:

1. Basic Single Variable Descriptive Statistics

Use SPSS to find the following descriptive statistics for Age-Adjusted Breast Cancer Mortality.

• Minimum
• Maximum
• Range
• Median
• Q values
• Mean
• Standard Deviation

Prepare a histogram with projected normal curve for Age-Adjusted Breast Cancer Mortality.

1. Copy the Age-Adjusted Breast Cancer Mortality “statistics box” from the SPSS output and paste them into your Word document.
2. Copy the Age-Adjusted Breast Cancer Mortality frequency table from the SPSS output and paste them into your Word document.
3. Copy the Age-Adjusted Breast Cancer Mortality histogram from the SPSS output and paste it into your Word document.

Review the Age-Adjusted Breast Cancer Mortality statistics box.

Review the Age-Adjusted Breast Cancer Mortality frequency table.

1. List the values of the following:
2. Q1
3. Q2
4. Q3
5. Q4
6. Mean
7. Median
8. Standard Deviation
9. For Age-Adjusted Breast Cancer Mortality, what percent of countries are higher than Japan?
10. For Age-Adjusted Breast Cancer Mortality, what percent of the countries are at or below France?
11. For Age-Adjusted Breast Cancer Mortality, in which quartile is Poland?

Review the Age-Adjusted Breast Cancer Mortality histogram

1. Based only on your review of the Age-Adjusted Breast Cancer Mortality histogram:
2. Based on your Age-Adjusted Breast Cancer Mortality histogram analysis alone, are there any Age- Adjusted Breast Cancer Mortality outlier candidates?
3. If there are outlier candidates, list the Age-Adjusted Breast Cancer Mortality value(s) on your Word document
4. Correlation – Two variable statistics

Use SPSS to calculate the Pearson R values for each of the following pairs of variables:

• Breast cancer mortality and animal fat intake
• Breast cancer mortality and vegetable fat intake
• Breast cancer mortality and total fat intake

Use SPSS to prepare scatter plots (with trend line) for each of the following pairs of variables:

• Breast cancer mortality and animal fat intake
• Breast cancer mortality and vegetable fat intake
• Breast cancer mortality and total fat intake
1. For Breast cancer mortality and animal fat intake
2. Copy the “R box” from the SPSS output and paste it into your Word document.
3. Copy the scatter plot for from the SPSS output and paste it into your Word document.
4. What is the value of the Pearson R?
5. Based on the value of the Pearson R, is there a correlation between breast cancer mortality and animal fat intake ?
6. If there is a correlation between Breast cancer mortality and animal fat intake, is it positive or negative ?
7. If there is a correlation between Breast cancer mortality and animal fat intake, is it strong or moderate or weak ?
8. 1. Based on your analysis of the correlation between Breast cancer mortality and animal fat intake, can you conclude that animal fat intake causes breast cancer ?

2.Why, or why not ?

1. For Breast cancer mortality and vegetable fat intake
2. Copy the “R box” from the SPSS output and paste it into your Word document.
3. Copy the scatter plot for from the SPSS output and paste it into your Word document.
4. What is the value of the Pearson R?
5. Based on the value of the Pearson R, is there a correlation between breast cancer mortality and vegetable fat intake ?
6. If there is a correlation between Breast cancer mortality and vegetable fat intake, is it positive or negative ?
7. If there is a correlation between Breast cancer mortality and vegetable fat intake, is it strong or moderate or weak ?
8. 1. Based on your analysis of the correlation between Breast cancer mortality and vegetable fat intake, can you conclude that vegetable fat intake causes breast cancer ?

2.Why, or why not ?

1. For Breast cancer mortality and total fat intake
2. Copy the “R box” from the SPSS output and paste it into your Word document.
3. Copy the scatter plot for from the SPSS output and paste it into your Word document.
4. What is the value of the Pearson R?
5. Based on the value of the Pearson R, is there a correlation between breast cancer mortality and total fat intake ?
6. If there is a correlation between Breast cancer mortality and total fat intake, is it positive or negative ?
7. If there is a correlation between Breast cancer mortality and total fat intake, is it strong or weak or moderate ?
8. 1. Based on your analysis of the correlation between Breast cancer mortality and total fat intake, can you conclude that total fat intake causes breast cancer ?

2.Why, or why not ?

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